Senior Software Engineer, Applied AI (Frontend Leading)

EPAM Systems is a leading global provider of digital platform engineering and development services. The Senior Software Engineer, Applied AI (Frontend Leading) will build intuitive, performant interfaces and frontend integration libraries for Generative AI and intelligent automation, while bridging LLM orchestration with enterprise user experience. The role also involves developing reusable components, integrating LLM-based experiences, and ensuring security, accessibility, observability, and test coverage.

Responsibilities:

• Design and build end-to-end GenAI-powered applications, emphasizing intuitive web-based UIs and performant client-side API integrations
• Develop responsive, accessible frontend interfaces using React, TypeScript, or Vue, engineered for streaming responses and low latency
• Build and maintain a library of reusable frontend components, hooks, and design systems for enterprise GenAI applications
• Implement LLM-based experiences using frameworks like LangChain or LlamaIndex with leading model providers (OpenAI, Claude, Gemini, etc.)
• Collaborate closely with designers and product managers to iterate rapidly on novel AI UX patterns (chat assistants, prompt builders, feedback loops)
• Ensure top-tier security, accessibility (a11y), observability, and test coverage across client-side and full-stack implementations

Requirements:

• 5+ years of production experience with React, TypeScript, or Vue for enterprise web applications
• 5–8 years of software engineering experience across the full web stack (frontend UIs, REST APIs, microservices)
• 2+ years of experience integrating GenAI features, LLM APIs, and prompt UI patterns into web applications
• Strong Python backend development skills and 2+ years of experience consuming/building cloud microservices on AWS, Docker, and REST APIs
• Proven experience building, documenting, and maintaining reusable component libraries, design systems, and custom hooks
• Real-time streaming UX patterns (SSE/WebSockets), prompt builders, citations, and summary UI components
• Deep knowledge of WCAG 2.1 AA compliance and accessible UI component architecture
• Client-side or Node.js LangChain, LangGraph, or LlamaIndex orchestration
• Familiarity with RAG pipelines, vector search (Pinecone, OpenSearch), and embedding concepts
• Experience with AI evaluation tooling, feedback loops, and guardrails in user interfaces